Completely revised and updated, Pharmaceutical Experimental Design and Interpretation, Second Edition explains the major methods of experimental design and evaluation such as multivariate, sequential, and principal components analysis. With new sections on neural networks, artificial intelligence, fractional designs, and optimization techniques, this source will prove invaluable to anyone involved in the design and execution of pharmaceutical research studies and the interpretation of study data.

Completely updated, this new edition explains the major methods of experimental design and evaluation such as multivariate, sequential, and principal components analysis. It offers new sections on neural networks, artificial intelligence, fractional designs, and optimization techniques. Taking a practice-orientated approach, it employs current case studies to illustrate important concepts, so as to deliver a clear understanding of statistical approaches without repeating information from older statistics textbooks. It supplies appendices on statistical tables, computer programs in BASIC and MINITAB Commands, sequential analysis grids, and matrices.